{"id":"W2113764094","doi":"10.1111/jvim.14627","title":"Antimicrobial use Guidelines for Treatment of Respiratory Tract Disease in Dogs and Cats: Antimicrobial Guidelines Working Group of the International Society for Companion Animal Infectious Diseases","year":2017,"lang":"en","type":"article","venue":"Journal of Veterinary Internal Medicine","topic":"Pneumonia and Respiratory Infections","field":"Medicine","cited_by":368,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Saskatoon Medical Imaging; University of Saskatchewan; Saskatchewan Health Authority","funders":"University of California, Davis; University of Missouri; North Carolina State University; Ohio State University","keywords":"Medicine; Antimicrobial; Intensive care medicine; Companion animal; Infectious disease (medical specialty); CATS; Clinical trial; Respiratory tract infections; Disease; Respiratory tract; Respiratory system; Internal medicine; Veterinary medicine; Microbiology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02081535,0.0006976646,0.001340144,0.00325335,0.001124318,0.001900275,0.002731343,0.004546274,0.002691827],"category_scores_gemma":[0.03085768,0.0005374872,0.001686756,0.002230037,0.00135959,0.00191316,0.002081367,0.005599183,0.001664287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001829938,"about_ca_system_score_gemma":0.01369965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01031535,"about_ca_topic_score_gemma":0.02134256,"domain_scores_codex":[0.985186,0.005366717,0.005230539,0.0002591909,0.003430675,0.0005267794],"domain_scores_gemma":[0.9403484,0.01144511,0.009931234,0.001598395,0.03346054,0.003216189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000262345,0.001222411,0.02186728,0.003941532,0.000173816,0.0009358166,0.002067142,0.001154143,0.006651869,0.007800512,0.6076901,0.346233],"study_design_scores_gemma":[0.0001595245,0.0005017074,0.0306835,0.008200211,0.0002199544,0.001250661,0.001516813,0.001353564,0.00205563,0.002801617,0.9511269,0.0001298303],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.0634404,0.1399058,0.08977363,0.4687538,0.02619978,0.0135472,0.01329765,0.003313894,0.1817678],"genre_scores_gemma":[0.1781689,0.1387049,0.4764818,0.1181614,0.007047348,0.01110463,0.02804274,0.0008099087,0.04147849],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.02081535,"threshold_uncertainty_score":0.1100833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1631018890637669,"score_gpt":0.4101790941947576,"score_spread":0.2470772051309907,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}